Overview

Dataset statistics

Number of variables20
Number of observations385500
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory58.8 MiB
Average record size in memory160.0 B

Variable types

Numeric20

Alerts

pmax[10] is highly overall correlated with pmax[1] and 6 other fieldsHigh correlation
pmax[11] is highly overall correlated with pmax[13] and 5 other fieldsHigh correlation
pmax[13] is highly overall correlated with pmax[11] and 5 other fieldsHigh correlation
pmax[14] is highly overall correlated with pmax[11] and 6 other fieldsHigh correlation
pmax[1] is highly overall correlated with pmax[10] and 7 other fieldsHigh correlation
pmax[2] is highly overall correlated with pmax[10] and 4 other fieldsHigh correlation
pmax[3] is highly overall correlated with pmax[10] and 5 other fieldsHigh correlation
pmax[4] is highly overall correlated with pmax[10] and 5 other fieldsHigh correlation
pmax[5] is highly overall correlated with pmax[11] and 6 other fieldsHigh correlation
pmax[6] is highly overall correlated with pmax[11] and 7 other fieldsHigh correlation
pmax[8] is highly overall correlated with pmax[10] and 7 other fieldsHigh correlation
pmax[9] is highly overall correlated with pmax[10] and 6 other fieldsHigh correlation
x is highly overall correlated with pmax[13] and 6 other fieldsHigh correlation
y is highly overall correlated with pmax[10] and 7 other fieldsHigh correlation
pmax[16] has unique valuesUnique
pmax[17] has unique valuesUnique

Reproduction

Analysis started2024-01-12 12:35:50.035731
Analysis finished2024-01-12 12:37:52.942695
Duration2 minutes and 2.91 seconds
Software versionydata-profiling vv4.6.4
Download configurationconfig.json

Variables

pmax[0]
Real number (ℝ)

Distinct347274
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.8664228
Minimum1.3944397
Maximum20.515415
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:37:53.103690image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum1.3944397
5-th percentile3.4100308
Q14.1239408
median4.6683212
Q35.2658882
95-th percentile6.3852002
Maximum20.515415
Range19.120975
Interquartile range (IQR)1.1419474

Descriptive statistics

Standard deviation1.4812204
Coefficient of variation (CV)0.3043756
Kurtosis23.456951
Mean4.8664228
Median Absolute Deviation (MAD)0.56858524
Skewness4.0732218
Sum1876006
Variance2.1940138
MonotonicityNot monotonic
2024-01-12T13:37:53.299693image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.402264404 6
 
< 0.1%
4.846707153 6
 
< 0.1%
4.393209839 5
 
< 0.1%
4.547320557 5
 
< 0.1%
4.505105591 5
 
< 0.1%
4.138357544 5
 
< 0.1%
4.452487183 5
 
< 0.1%
4.910025024 5
 
< 0.1%
3.964367676 5
 
< 0.1%
5.128738403 5
 
< 0.1%
Other values (347264) 385448
> 99.9%
ValueCountFrequency (%)
1.394439697 1
< 0.1%
1.605654907 1
< 0.1%
1.664456177 1
< 0.1%
1.706628418 1
< 0.1%
1.748504639 1
< 0.1%
1.753093773 1
< 0.1%
1.764455825 1
< 0.1%
1.766589355 1
< 0.1%
1.832879639 1
< 0.1%
1.850210571 1
< 0.1%
ValueCountFrequency (%)
20.5154146 1
< 0.1%
20.42821938 1
< 0.1%
19.73483574 1
< 0.1%
19.31737671 1
< 0.1%
19.24498153 1
< 0.1%
19.19501648 1
< 0.1%
18.9288188 1
< 0.1%
18.91474583 1
< 0.1%
18.8835921 1
< 0.1%
18.87585754 1
< 0.1%

pmax[1]
Real number (ℝ)

HIGH CORRELATION 

Distinct379190
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.510543
Minimum2.0281342
Maximum106.64907
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:37:53.528693image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum2.0281342
5-th percentile4.0803214
Q15.6197278
median10.068513
Q319.031319
95-th percentile55.782428
Maximum106.64907
Range104.62093
Interquartile range (IQR)13.411591

Descriptive statistics

Standard deviation16.781018
Coefficient of variation (CV)1.0163819
Kurtosis4.1340594
Mean16.510543
Median Absolute Deviation (MAD)5.0438627
Skewness2.0737665
Sum6364814.4
Variance281.60257
MonotonicityNot monotonic
2024-01-12T13:37:53.715692image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.899423218 4
 
< 0.1%
4.990899658 4
 
< 0.1%
3.783041382 4
 
< 0.1%
4.045281982 4
 
< 0.1%
4.568475342 4
 
< 0.1%
8.171624756 3
 
< 0.1%
10.64902344 3
 
< 0.1%
4.581112671 3
 
< 0.1%
4.249822998 3
 
< 0.1%
3.928997803 3
 
< 0.1%
Other values (379180) 385465
> 99.9%
ValueCountFrequency (%)
2.028134155 1
< 0.1%
2.032293701 1
< 0.1%
2.099886651 1
< 0.1%
2.108456421 1
< 0.1%
2.112106323 1
< 0.1%
2.132574463 1
< 0.1%
2.158925748 1
< 0.1%
2.167562866 1
< 0.1%
2.169259644 1
< 0.1%
2.201733398 1
< 0.1%
ValueCountFrequency (%)
106.6490662 1
< 0.1%
106.118045 1
< 0.1%
105.2656555 1
< 0.1%
105.0501282 1
< 0.1%
105.0406494 1
< 0.1%
105.0319489 1
< 0.1%
104.9633575 1
< 0.1%
104.8663849 1
< 0.1%
104.8569489 1
< 0.1%
104.5620422 1
< 0.1%

pmax[2]
Real number (ℝ)

HIGH CORRELATION 

Distinct369508
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.7840171
Minimum1.7994354
Maximum68.837366
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:37:53.901692image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum1.7994354
5-th percentile3.7401396
Q14.6812714
median5.7147125
Q39.7964979
95-th percentile23.915157
Maximum68.837366
Range67.03793
Interquartile range (IQR)5.1152265

Descriptive statistics

Standard deviation7.6926922
Coefficient of variation (CV)0.87576016
Kurtosis11.584336
Mean8.7840171
Median Absolute Deviation (MAD)1.4224274
Skewness3.0676773
Sum3386238.6
Variance59.177513
MonotonicityNot monotonic
2024-01-12T13:37:54.066689image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.836102295 5
 
< 0.1%
4.34810791 5
 
< 0.1%
5.032873535 4
 
< 0.1%
4.290194702 4
 
< 0.1%
5.365795898 4
 
< 0.1%
4.911050415 4
 
< 0.1%
4.643096924 4
 
< 0.1%
4.17623291 4
 
< 0.1%
5.4300354 4
 
< 0.1%
4.778744507 4
 
< 0.1%
Other values (369498) 385458
> 99.9%
ValueCountFrequency (%)
1.799435425 1
< 0.1%
1.853723145 1
< 0.1%
1.985113525 1
< 0.1%
1.986657715 1
< 0.1%
1.994247437 1
< 0.1%
2.006564331 1
< 0.1%
2.052926636 1
< 0.1%
2.059832764 1
< 0.1%
2.065423584 1
< 0.1%
2.097769165 1
< 0.1%
ValueCountFrequency (%)
68.83736572 1
< 0.1%
68.67091675 1
< 0.1%
68.42910767 1
< 0.1%
68.31914063 1
< 0.1%
68.09422302 1
< 0.1%
66.91794739 1
< 0.1%
66.7976532 1
< 0.1%
66.77619019 1
< 0.1%
66.77025146 1
< 0.1%
66.71678467 1
< 0.1%

pmax[3]
Real number (ℝ)

HIGH CORRELATION 

Distinct381929
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.457888
Minimum2.0343109
Maximum136.65859
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:37:54.230691image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum2.0343109
5-th percentile5.1153472
Q19.3273972
median15.071468
Q336.166834
95-th percentile84.475361
Maximum136.65859
Range134.62428
Interquartile range (IQR)26.839437

Descriptive statistics

Standard deviation25.397517
Coefficient of variation (CV)0.9599223
Kurtosis1.4993491
Mean26.457888
Median Absolute Deviation (MAD)7.6665704
Skewness1.5414483
Sum10199516
Variance645.03385
MonotonicityNot monotonic
2024-01-12T13:37:54.375691image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13.30614929 4
 
< 0.1%
5.67930603 3
 
< 0.1%
5.602044678 3
 
< 0.1%
4.919451904 3
 
< 0.1%
14.51911316 3
 
< 0.1%
8.764260864 3
 
< 0.1%
18.50177612 3
 
< 0.1%
13.3940033 3
 
< 0.1%
11.38639526 3
 
< 0.1%
7.667312622 3
 
< 0.1%
Other values (381919) 385469
> 99.9%
ValueCountFrequency (%)
2.034310913 1
< 0.1%
2.162094116 1
< 0.1%
2.167385864 1
< 0.1%
2.209439087 1
< 0.1%
2.240426636 1
< 0.1%
2.254873657 1
< 0.1%
2.387930298 1
< 0.1%
2.389950562 1
< 0.1%
2.404840088 1
< 0.1%
2.41237793 1
< 0.1%
ValueCountFrequency (%)
136.6585876 1
< 0.1%
135.1032013 1
< 0.1%
134.6650848 1
< 0.1%
133.1647278 1
< 0.1%
132.5862 1
< 0.1%
131.7500427 1
< 0.1%
130.9431671 1
< 0.1%
130.9295593 1
< 0.1%
130.4724182 1
< 0.1%
129.8304504 1
< 0.1%

pmax[4]
Real number (ℝ)

HIGH CORRELATION 

Distinct379009
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.947826
Minimum1.940271
Maximum90.635233
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:37:54.540691image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum1.940271
5-th percentile4.1610776
Q15.7443343
median10.180335
Q317.985703
95-th percentile46.298861
Maximum90.635233
Range88.694962
Interquartile range (IQR)12.241369

Descriptive statistics

Standard deviation13.394484
Coefficient of variation (CV)0.89608245
Kurtosis3.6467794
Mean14.947826
Median Absolute Deviation (MAD)4.9657176
Skewness1.9387501
Sum5762386.9
Variance179.41221
MonotonicityNot monotonic
2024-01-12T13:37:54.677695image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.057263184 4
 
< 0.1%
4.668814087 4
 
< 0.1%
5.003460693 4
 
< 0.1%
4.668426514 4
 
< 0.1%
5.831195068 4
 
< 0.1%
8.505041504 3
 
< 0.1%
6.129846191 3
 
< 0.1%
4.603619385 3
 
< 0.1%
4.68112793 3
 
< 0.1%
7.323895264 3
 
< 0.1%
Other values (378999) 385465
> 99.9%
ValueCountFrequency (%)
1.940270996 1
< 0.1%
1.994177246 1
< 0.1%
2.018829346 1
< 0.1%
2.033197021 1
< 0.1%
2.045141602 1
< 0.1%
2.122415161 1
< 0.1%
2.141015625 1
< 0.1%
2.159579468 1
< 0.1%
2.18973999 1
< 0.1%
2.196051025 1
< 0.1%
ValueCountFrequency (%)
90.63523254 1
< 0.1%
90.28744202 1
< 0.1%
89.36125488 1
< 0.1%
87.50843506 1
< 0.1%
87.27154541 1
< 0.1%
86.33645935 1
< 0.1%
86.2472229 1
< 0.1%
86.09331665 1
< 0.1%
85.68477783 1
< 0.1%
84.9951355 1
< 0.1%

pmax[5]
Real number (ℝ)

HIGH CORRELATION 

Distinct382523
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.333002
Minimum2.476239
Maximum138.38165
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:37:54.828693image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum2.476239
5-th percentile9.6673466
Q115.94942
median28.257567
Q358.928515
95-th percentile94.187664
Maximum138.38165
Range135.90541
Interquartile range (IQR)42.979095

Descriptive statistics

Standard deviation27.899214
Coefficient of variation (CV)0.70930801
Kurtosis-0.28422633
Mean39.333002
Median Absolute Deviation (MAD)15.759369
Skewness0.85737044
Sum15162872
Variance778.36613
MonotonicityNot monotonic
2024-01-12T13:37:54.978696image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
39.79319153 3
 
< 0.1%
19.12569885 3
 
< 0.1%
15.4340332 3
 
< 0.1%
15.58636169 3
 
< 0.1%
17.84398499 3
 
< 0.1%
14.94655457 3
 
< 0.1%
26.58236389 3
 
< 0.1%
58.86537781 3
 
< 0.1%
25.05706177 3
 
< 0.1%
20.9493866 3
 
< 0.1%
Other values (382513) 385470
> 99.9%
ValueCountFrequency (%)
2.476239014 1
< 0.1%
2.674658203 1
< 0.1%
2.821447754 1
< 0.1%
2.877566528 1
< 0.1%
2.945761108 1
< 0.1%
3.028723476 1
< 0.1%
3.123937988 1
< 0.1%
3.159783936 1
< 0.1%
3.167764282 1
< 0.1%
3.191207886 1
< 0.1%
ValueCountFrequency (%)
138.3816498 1
< 0.1%
137.1030701 1
< 0.1%
134.635434 1
< 0.1%
134.3267761 1
< 0.1%
134.0977203 1
< 0.1%
133.4767731 1
< 0.1%
133.2856689 1
< 0.1%
133.262085 1
< 0.1%
133.1631989 1
< 0.1%
133.0972687 1
< 0.1%

pmax[6]
Real number (ℝ)

HIGH CORRELATION 

Distinct377303
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.907669
Minimum1.8830017
Maximum128.19901
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:37:55.130691image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum1.8830017
5-th percentile4.0616402
Q15.4025037
median8.6747253
Q316.1976
95-th percentile53.719611
Maximum128.19901
Range126.31601
Interquartile range (IQR)10.795096

Descriptive statistics

Standard deviation16.613431
Coefficient of variation (CV)1.1144218
Kurtosis8.0653096
Mean14.907669
Median Absolute Deviation (MAD)3.8891342
Skewness2.7220708
Sum5746906.2
Variance276.0061
MonotonicityNot monotonic
2024-01-12T13:37:55.293695image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.736099243 4
 
< 0.1%
5.210751343 4
 
< 0.1%
4.372338867 4
 
< 0.1%
4.909204102 4
 
< 0.1%
5.084622192 4
 
< 0.1%
4.909317017 4
 
< 0.1%
5.625576782 4
 
< 0.1%
5.24274292 3
 
< 0.1%
5.165380859 3
 
< 0.1%
6.443426514 3
 
< 0.1%
Other values (377293) 385463
> 99.9%
ValueCountFrequency (%)
1.883001709 1
< 0.1%
1.941110229 1
< 0.1%
2.028720093 1
< 0.1%
2.035980225 1
< 0.1%
2.091317749 1
< 0.1%
2.122937012 1
< 0.1%
2.143798828 1
< 0.1%
2.144796753 1
< 0.1%
2.155578613 1
< 0.1%
2.156524658 1
< 0.1%
ValueCountFrequency (%)
128.1990082 1
< 0.1%
124.0306061 1
< 0.1%
123.7841431 1
< 0.1%
122.9109039 1
< 0.1%
121.1634338 1
< 0.1%
121.1417328 1
< 0.1%
121.1042511 1
< 0.1%
121.0805603 1
< 0.1%
120.7872864 1
< 0.1%
120.5332977 1
< 0.1%

pmax[7]
Real number (ℝ)

Distinct347321
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.8498826
Minimum1.5914886
Maximum19.777481
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:37:55.440691image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum1.5914886
5-th percentile3.3892998
Q14.1067795
median4.6497726
Q35.2490334
95-th percentile6.3734494
Maximum19.777481
Range18.185992
Interquartile range (IQR)1.1422539

Descriptive statistics

Standard deviation1.4876507
Coefficient of variation (CV)0.30673953
Kurtosis23.275362
Mean4.8498826
Median Absolute Deviation (MAD)0.56842804
Skewness4.0667921
Sum1869629.7
Variance2.2131046
MonotonicityNot monotonic
2024-01-12T13:37:55.578691image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.375476074 6
 
< 0.1%
4.700512695 5
 
< 0.1%
5.245901489 5
 
< 0.1%
4.31126709 5
 
< 0.1%
4.357000732 5
 
< 0.1%
4.599874878 5
 
< 0.1%
3.981225586 5
 
< 0.1%
4.202124023 5
 
< 0.1%
4.756228638 5
 
< 0.1%
4.778695679 5
 
< 0.1%
Other values (347311) 385449
> 99.9%
ValueCountFrequency (%)
1.591488647 1
< 0.1%
1.625201416 1
< 0.1%
1.625460815 1
< 0.1%
1.662808228 1
< 0.1%
1.818554687 1
< 0.1%
1.833618164 1
< 0.1%
1.836071777 1
< 0.1%
1.868511963 1
< 0.1%
1.890179443 1
< 0.1%
1.894586182 1
< 0.1%
ValueCountFrequency (%)
19.77748108 1
< 0.1%
19.45359212 1
< 0.1%
19.02015884 1
< 0.1%
18.92256775 1
< 0.1%
18.77886047 1
< 0.1%
18.72595391 1
< 0.1%
18.58883667 1
< 0.1%
18.45474854 1
< 0.1%
18.44993018 1
< 0.1%
18.43702087 1
< 0.1%

pmax[8]
Real number (ℝ)

HIGH CORRELATION 

Distinct380435
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.503279
Minimum1.4404026
Maximum128.18564
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:37:55.734703image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum1.4404026
5-th percentile4.2309779
Q16.4718452
median12.660268
Q325.45126
95-th percentile66.252813
Maximum128.18564
Range126.74523
Interquartile range (IQR)18.979414

Descriptive statistics

Standard deviation20.175681
Coefficient of variation (CV)0.98402218
Kurtosis2.982527
Mean20.503279
Median Absolute Deviation (MAD)7.1920425
Skewness1.8122612
Sum7904014
Variance407.05811
MonotonicityNot monotonic
2024-01-12T13:37:55.877695image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14.78249817 3
 
< 0.1%
5.036624146 3
 
< 0.1%
16.4737854 3
 
< 0.1%
4.644863892 3
 
< 0.1%
6.10954895 3
 
< 0.1%
11.18064575 3
 
< 0.1%
6.300708008 3
 
< 0.1%
5.409152222 3
 
< 0.1%
4.347463989 3
 
< 0.1%
7.529141235 3
 
< 0.1%
Other values (380425) 385470
> 99.9%
ValueCountFrequency (%)
1.440402584 1
< 0.1%
1.998168945 1
< 0.1%
2.088098145 1
< 0.1%
2.149154663 1
< 0.1%
2.159881592 1
< 0.1%
2.160498047 1
< 0.1%
2.165744019 1
< 0.1%
2.168988037 1
< 0.1%
2.183538818 1
< 0.1%
2.196472168 1
< 0.1%
ValueCountFrequency (%)
128.1856354 1
< 0.1%
124.6846802 1
< 0.1%
124.2776459 1
< 0.1%
121.239679 1
< 0.1%
121.0509094 1
< 0.1%
120.6276978 1
< 0.1%
120.5172394 1
< 0.1%
120.1837646 1
< 0.1%
120.0050903 1
< 0.1%
119.9777771 1
< 0.1%

pmax[9]
Real number (ℝ)

HIGH CORRELATION 

Distinct374254
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.50553
Minimum1.7275299
Maximum115.56603
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:37:56.037688image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum1.7275299
5-th percentile3.8035393
Q14.9195282
median6.9962387
Q313.679469
95-th percentile44.634004
Maximum115.56603
Range113.8385
Interquartile range (IQR)8.7599403

Descriptive statistics

Standard deviation13.862611
Coefficient of variation (CV)1.1085184
Kurtosis9.3497389
Mean12.50553
Median Absolute Deviation (MAD)2.7276223
Skewness2.9052926
Sum4820881.8
Variance192.17197
MonotonicityNot monotonic
2024-01-12T13:37:56.184690image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.32807312 4
 
< 0.1%
5.070196533 4
 
< 0.1%
4.432476807 4
 
< 0.1%
3.656103516 4
 
< 0.1%
4.75062561 4
 
< 0.1%
14.24611816 4
 
< 0.1%
5.249139404 4
 
< 0.1%
4.651763916 4
 
< 0.1%
4.582171631 4
 
< 0.1%
4.285662842 4
 
< 0.1%
Other values (374244) 385460
> 99.9%
ValueCountFrequency (%)
1.727529907 1
< 0.1%
1.797338867 1
< 0.1%
1.85300293 1
< 0.1%
1.85480957 1
< 0.1%
1.897290039 1
< 0.1%
1.959057617 1
< 0.1%
1.968963623 1
< 0.1%
1.973324585 1
< 0.1%
1.975149536 1
< 0.1%
1.991933276 1
< 0.1%
ValueCountFrequency (%)
115.5660278 1
< 0.1%
113.1298523 1
< 0.1%
112.8514557 1
< 0.1%
112.7937439 1
< 0.1%
112.3648071 1
< 0.1%
112.253833 1
< 0.1%
111.3298248 1
< 0.1%
110.4649933 1
< 0.1%
109.9281006 1
< 0.1%
108.8988068 1
< 0.1%

pmax[10]
Real number (ℝ)

HIGH CORRELATION 

Distinct382366
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.827489
Minimum2.5332672
Maximum141.43984
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:37:56.349691image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum2.5332672
5-th percentile8.0663281
Q113.758305
median23.506975
Q359.20765
95-th percentile98.045552
Maximum141.43984
Range138.90658
Interquartile range (IQR)45.449345

Descriptive statistics

Standard deviation30.010446
Coefficient of variation (CV)0.7933502
Kurtosis-0.20598519
Mean37.827489
Median Absolute Deviation (MAD)13.65278
Skewness0.9500418
Sum14582497
Variance900.62688
MonotonicityNot monotonic
2024-01-12T13:37:56.478700image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15.76771545 3
 
< 0.1%
52.37387695 3
 
< 0.1%
11.14618835 3
 
< 0.1%
14.68529968 3
 
< 0.1%
15.00384827 3
 
< 0.1%
19.4150116 3
 
< 0.1%
11.57786865 3
 
< 0.1%
17.92897949 3
 
< 0.1%
9.363476562 3
 
< 0.1%
13.17295532 3
 
< 0.1%
Other values (382356) 385470
> 99.9%
ValueCountFrequency (%)
2.533267212 1
< 0.1%
2.575378418 1
< 0.1%
2.616571045 1
< 0.1%
2.640377808 1
< 0.1%
2.646261597 1
< 0.1%
2.656695557 1
< 0.1%
2.657800293 1
< 0.1%
2.685852051 1
< 0.1%
2.788931274 1
< 0.1%
2.832531738 1
< 0.1%
ValueCountFrequency (%)
141.4398438 1
< 0.1%
141.0632538 1
< 0.1%
140.1047791 1
< 0.1%
140.0490845 1
< 0.1%
139.5186493 1
< 0.1%
139.2727783 1
< 0.1%
139.0792267 1
< 0.1%
138.9490479 1
< 0.1%
138.036322 1
< 0.1%
137.9486938 1
< 0.1%

pmax[11]
Real number (ℝ)

HIGH CORRELATION 

Distinct380741
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.118955
Minimum1.9351257
Maximum134.46443
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:37:56.622696image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum1.9351257
5-th percentile4.6433621
Q17.9046913
median13.388216
Q326.453506
95-th percentile71.235441
Maximum134.46443
Range132.5293
Interquartile range (IQR)18.548815

Descriptive statistics

Standard deviation21.599092
Coefficient of variation (CV)0.97649698
Kurtosis2.8156799
Mean22.118955
Median Absolute Deviation (MAD)6.8597524
Skewness1.8032011
Sum8526857.1
Variance466.52079
MonotonicityNot monotonic
2024-01-12T13:37:56.952691image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.032846069 3
 
< 0.1%
4.698397827 3
 
< 0.1%
13.2072998 3
 
< 0.1%
11.71374207 3
 
< 0.1%
5.396386719 3
 
< 0.1%
19.9479187 3
 
< 0.1%
5.903329468 3
 
< 0.1%
11.76604004 3
 
< 0.1%
5.520040894 3
 
< 0.1%
12.6228241 3
 
< 0.1%
Other values (380731) 385470
> 99.9%
ValueCountFrequency (%)
1.935125732 1
< 0.1%
2.100262451 1
< 0.1%
2.185696411 1
< 0.1%
2.189855957 1
< 0.1%
2.203860474 1
< 0.1%
2.228222656 1
< 0.1%
2.237850952 1
< 0.1%
2.241149902 1
< 0.1%
2.294869995 1
< 0.1%
2.298760986 1
< 0.1%
ValueCountFrequency (%)
134.4644257 1
< 0.1%
133.3981323 1
< 0.1%
133.3880951 1
< 0.1%
131.3401154 1
< 0.1%
130.8017578 1
< 0.1%
130.5105743 1
< 0.1%
130.0271454 1
< 0.1%
129.1365356 1
< 0.1%
128.5394073 1
< 0.1%
128.5250183 1
< 0.1%

pmax[12]
Real number (ℝ)

Distinct341508
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.8727212
Minimum1.6195557
Maximum20.501949
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:37:57.110695image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum1.6195557
5-th percentile3.3447227
Q14.045327
median4.5769958
Q35.1711568
95-th percentile6.4973675
Maximum20.501949
Range18.882394
Interquartile range (IQR)1.1258298

Descriptive statistics

Standard deviation1.748889
Coefficient of variation (CV)0.35891424
Kurtosis17.422469
Mean4.8727212
Median Absolute Deviation (MAD)0.55990143
Skewness3.7977864
Sum1878434
Variance3.0586129
MonotonicityNot monotonic
2024-01-12T13:37:57.251721image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.391040039 6
 
< 0.1%
4.282824707 6
 
< 0.1%
4.209851074 5
 
< 0.1%
4.948236084 5
 
< 0.1%
4.671359253 5
 
< 0.1%
4.248284912 5
 
< 0.1%
3.717987061 5
 
< 0.1%
4.360125732 5
 
< 0.1%
4.447277832 5
 
< 0.1%
4.437478638 5
 
< 0.1%
Other values (341498) 385448
> 99.9%
ValueCountFrequency (%)
1.619555664 1
< 0.1%
1.648608398 1
< 0.1%
1.64948191 1
< 0.1%
1.677288818 1
< 0.1%
1.694924927 1
< 0.1%
1.735162354 1
< 0.1%
1.82321167 1
< 0.1%
1.869802856 1
< 0.1%
1.87017296 1
< 0.1%
1.871118164 1
< 0.1%
ValueCountFrequency (%)
20.50194938 1
< 0.1%
20.23639963 1
< 0.1%
20.1185112 1
< 0.1%
19.56909952 1
< 0.1%
19.38570214 1
< 0.1%
19.34411739 1
< 0.1%
19.28081789 1
< 0.1%
19.08799929 1
< 0.1%
19.02562966 1
< 0.1%
18.95058253 1
< 0.1%

pmax[13]
Real number (ℝ)

HIGH CORRELATION 

Distinct382707
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.233983
Minimum2.7270477
Maximum141.53091
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:37:57.404696image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum2.7270477
5-th percentile10.241735
Q117.327409
median33.571727
Q360.328537
95-th percentile96.301949
Maximum141.53091
Range138.80387
Interquartile range (IQR)43.001128

Descriptive statistics

Standard deviation27.992784
Coefficient of variation (CV)0.67887655
Kurtosis-0.284763
Mean41.233983
Median Absolute Deviation (MAD)18.912434
Skewness0.81725413
Sum15895700
Variance783.59595
MonotonicityNot monotonic
2024-01-12T13:37:57.546696image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13.19282227 3
 
< 0.1%
11.83750916 3
 
< 0.1%
15.90348511 3
 
< 0.1%
14.12488098 3
 
< 0.1%
46.03769226 3
 
< 0.1%
21.46132507 3
 
< 0.1%
26.91636047 3
 
< 0.1%
12.34752502 3
 
< 0.1%
12.47222595 3
 
< 0.1%
17.65672607 3
 
< 0.1%
Other values (382697) 385470
> 99.9%
ValueCountFrequency (%)
2.727047729 1
< 0.1%
3.064413452 1
< 0.1%
3.605279541 1
< 0.1%
3.694827271 1
< 0.1%
3.743627951 1
< 0.1%
3.839797718 1
< 0.1%
3.849533081 1
< 0.1%
3.860357666 1
< 0.1%
3.965130615 1
< 0.1%
3.975018311 1
< 0.1%
ValueCountFrequency (%)
141.5309143 1
< 0.1%
138.77117 1
< 0.1%
138.5662292 1
< 0.1%
138.563504 1
< 0.1%
137.49758 1
< 0.1%
137.0080078 1
< 0.1%
136.998233 1
< 0.1%
136.442334 1
< 0.1%
136.1855927 1
< 0.1%
134.883725 1
< 0.1%

pmax[14]
Real number (ℝ)

HIGH CORRELATION 

Distinct377962
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.656853
Minimum1.8016388
Maximum115.792
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:37:57.728696image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum1.8016388
5-th percentile4.163501
Q15.7205575
median10.125145
Q318.72063
95-th percentile60.640518
Maximum115.792
Range113.99037
Interquartile range (IQR)13.000072

Descriptive statistics

Standard deviation17.784631
Coefficient of variation (CV)1.0677066
Kurtosis5.316419
Mean16.656853
Median Absolute Deviation (MAD)4.9933837
Skewness2.3257143
Sum6421216.9
Variance316.29311
MonotonicityNot monotonic
2024-01-12T13:37:57.915697image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.949716187 4
 
< 0.1%
5.380264282 3
 
< 0.1%
5.039877319 3
 
< 0.1%
5.374301147 3
 
< 0.1%
5.023007202 3
 
< 0.1%
12.46167603 3
 
< 0.1%
5.840423584 3
 
< 0.1%
6.379003906 3
 
< 0.1%
4.035028076 3
 
< 0.1%
5.165966797 3
 
< 0.1%
Other values (377952) 385469
> 99.9%
ValueCountFrequency (%)
1.801638794 1
< 0.1%
1.873745728 1
< 0.1%
2.001589966 1
< 0.1%
2.094113159 1
< 0.1%
2.112582397 1
< 0.1%
2.11914978 1
< 0.1%
2.131115723 1
< 0.1%
2.179855347 1
< 0.1%
2.205877686 1
< 0.1%
2.227529907 1
< 0.1%
ValueCountFrequency (%)
115.7920044 1
< 0.1%
114.3332611 1
< 0.1%
114.0329559 1
< 0.1%
113.9634644 1
< 0.1%
113.3895233 1
< 0.1%
113.1857544 1
< 0.1%
113.1255981 1
< 0.1%
112.6525238 1
< 0.1%
112.4599945 1
< 0.1%
112.4030182 1
< 0.1%

pmax[15]
Real number (ℝ)

Distinct385499
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.18157
Minimum49.502625
Maximum193.72495
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:37:58.079691image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum49.502625
5-th percentile77.608289
Q194.907836
median102.72474
Q3113.355
95-th percentile132.27133
Maximum193.72495
Range144.22232
Interquartile range (IQR)18.447163

Descriptive statistics

Standard deviation16.031714
Coefficient of variation (CV)0.15388244
Kurtosis0.96236426
Mean104.18157
Median Absolute Deviation (MAD)8.9375174
Skewness0.2823429
Sum40161994
Variance257.01585
MonotonicityNot monotonic
2024-01-12T13:37:58.254692image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.26570129 2
 
< 0.1%
149.6487364 1
 
< 0.1%
87.67966493 1
 
< 0.1%
91.25048373 1
 
< 0.1%
98.3161491 1
 
< 0.1%
95.99891581 1
 
< 0.1%
90.81348651 1
 
< 0.1%
92.02147497 1
 
< 0.1%
92.34884805 1
 
< 0.1%
90.41597719 1
 
< 0.1%
Other values (385489) 385489
> 99.9%
ValueCountFrequency (%)
49.50262527 1
< 0.1%
50.26890433 1
< 0.1%
50.55455667 1
< 0.1%
51.07334942 1
< 0.1%
51.23816648 1
< 0.1%
51.24217785 1
< 0.1%
51.48886937 1
< 0.1%
51.59047305 1
< 0.1%
51.63903405 1
< 0.1%
51.6600708 1
< 0.1%
ValueCountFrequency (%)
193.7249469 1
< 0.1%
192.5891156 1
< 0.1%
190.8714706 1
< 0.1%
189.3970447 1
< 0.1%
186.5409846 1
< 0.1%
186.52794 1
< 0.1%
186.397755 1
< 0.1%
186.127646 1
< 0.1%
185.9673614 1
< 0.1%
185.9068013 1
< 0.1%

pmax[16]
Real number (ℝ)

UNIQUE 

Distinct385500
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean608.6508
Minimum451.50279
Maximum665.26744
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:37:58.452691image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum451.50279
5-th percentile589.38373
Q1598.88899
median607.19065
Q3616.8376
95-th percentile633.36675
Maximum665.26744
Range213.76465
Interquartile range (IQR)17.948607

Descriptive statistics

Standard deviation13.723698
Coefficient of variation (CV)0.022547736
Kurtosis2.6588594
Mean608.6508
Median Absolute Deviation (MAD)8.8820608
Skewness0.21399811
Sum2.3463489 × 108
Variance188.33987
MonotonicityNot monotonic
2024-01-12T13:37:58.622692image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
607.1091176 1
 
< 0.1%
603.9817176 1
 
< 0.1%
622.6568045 1
 
< 0.1%
593.1732086 1
 
< 0.1%
595.6427299 1
 
< 0.1%
613.9403148 1
 
< 0.1%
607.0855961 1
 
< 0.1%
582.9863436 1
 
< 0.1%
627.0298297 1
 
< 0.1%
591.5920976 1
 
< 0.1%
Other values (385490) 385490
> 99.9%
ValueCountFrequency (%)
451.5027893 1
< 0.1%
474.7075348 1
< 0.1%
479.3774688 1
< 0.1%
479.8439649 1
< 0.1%
480.2032336 1
< 0.1%
480.4323503 1
< 0.1%
480.6587203 1
< 0.1%
481.0007816 1
< 0.1%
481.0911155 1
< 0.1%
481.216968 1
< 0.1%
ValueCountFrequency (%)
665.2674433 1
< 0.1%
664.5039086 1
< 0.1%
664.4458639 1
< 0.1%
664.4077804 1
< 0.1%
663.9479177 1
< 0.1%
663.9348975 1
< 0.1%
663.8838137 1
< 0.1%
663.8599007 1
< 0.1%
663.7945693 1
< 0.1%
663.7691826 1
< 0.1%

pmax[17]
Real number (ℝ)

UNIQUE 

Distinct385500
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean609.06012
Minimum456.81662
Maximum675.05222
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:37:58.799696image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum456.81662
5-th percentile589.36946
Q1599.39016
median607.20237
Q3617.3133
95-th percentile634.93278
Maximum675.05222
Range218.2356
Interquartile range (IQR)17.923147

Descriptive statistics

Standard deviation13.928735
Coefficient of variation (CV)0.022869229
Kurtosis0.78332551
Mean609.06012
Median Absolute Deviation (MAD)8.7561004
Skewness0.62146861
Sum2.3479268 × 108
Variance194.00966
MonotonicityNot monotonic
2024-01-12T13:37:58.969691image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
614.9168606 1
 
< 0.1%
595.0570722 1
 
< 0.1%
599.4034438 1
 
< 0.1%
598.1474433 1
 
< 0.1%
647.3437409 1
 
< 0.1%
605.9873937 1
 
< 0.1%
609.8390865 1
 
< 0.1%
606.8654421 1
 
< 0.1%
600.5228728 1
 
< 0.1%
612.8892297 1
 
< 0.1%
Other values (385490) 385490
> 99.9%
ValueCountFrequency (%)
456.8166199 1
< 0.1%
464.2594208 1
< 0.1%
482.5725709 1
< 0.1%
482.7081734 1
< 0.1%
492.8911899 1
< 0.1%
493.8964926 1
< 0.1%
498.8264912 1
< 0.1%
499.9021458 1
< 0.1%
500.4440122 1
< 0.1%
501.534572 1
< 0.1%
ValueCountFrequency (%)
675.0522211 1
< 0.1%
674.7004903 1
< 0.1%
674.3064359 1
< 0.1%
673.6334217 1
< 0.1%
673.4438149 1
< 0.1%
673.4259787 1
< 0.1%
673.129516 1
< 0.1%
673.0978889 1
< 0.1%
672.9207651 1
< 0.1%
672.8226971 1
< 0.1%

x
Real number (ℝ)

HIGH CORRELATION 

Distinct81
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean397.72374
Minimum200
Maximum600
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:37:59.189697image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum200
5-th percentile215
Q1285
median400
Q3500
95-th percentile585
Maximum600
Range400
Interquartile range (IQR)215

Descriptive statistics

Standard deviation120.5931
Coefficient of variation (CV)0.30320822
Kurtosis-1.197003
Mean397.72374
Median Absolute Deviation (MAD)110
Skewness0.034705739
Sum1.533225 × 108
Variance14542.697
MonotonicityIncreasing
2024-01-12T13:37:59.374693image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
235 6600
 
1.7%
580 6300
 
1.6%
565 6300
 
1.6%
410 6100
 
1.6%
405 6100
 
1.6%
200 5900
 
1.5%
590 5900
 
1.5%
225 5900
 
1.5%
355 5800
 
1.5%
585 5800
 
1.5%
Other values (71) 324800
84.3%
ValueCountFrequency (%)
200 5900
1.5%
205 5300
1.4%
210 5600
1.5%
215 5600
1.5%
220 4800
1.2%
225 5900
1.5%
230 5600
1.5%
235 6600
1.7%
240 5800
1.5%
245 5800
1.5%
ValueCountFrequency (%)
600 5300
1.4%
595 5500
1.4%
590 5900
1.5%
585 5800
1.5%
580 6300
1.6%
575 5100
1.3%
570 5500
1.4%
565 6300
1.6%
560 5500
1.4%
555 5800
1.5%

y
Real number (ℝ)

HIGH CORRELATION 

Distinct81
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean404.10636
Minimum200
Maximum600
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:37:59.559690image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum200
5-th percentile225
Q1310
median405
Q3500
95-th percentile580
Maximum600
Range400
Interquartile range (IQR)190

Descriptive statistics

Standard deviation113.65223
Coefficient of variation (CV)0.28124336
Kurtosis-1.1513592
Mean404.10636
Median Absolute Deviation (MAD)95
Skewness-0.027233727
Sum1.55783 × 108
Variance12916.829
MonotonicityNot monotonic
2024-01-12T13:37:59.710721image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
390 6100
 
1.6%
485 5900
 
1.5%
495 5900
 
1.5%
540 5700
 
1.5%
400 5600
 
1.5%
395 5600
 
1.5%
380 5500
 
1.4%
375 5500
 
1.4%
525 5400
 
1.4%
520 5400
 
1.4%
Other values (71) 328900
85.3%
ValueCountFrequency (%)
200 3800
1.0%
205 3400
0.9%
210 3900
1.0%
215 3400
0.9%
220 3900
1.0%
225 4100
1.1%
230 4600
1.2%
235 4800
1.2%
240 4200
1.1%
245 4000
1.0%
ValueCountFrequency (%)
600 4700
1.2%
595 5300
1.4%
590 4700
1.2%
585 4400
1.1%
580 4700
1.2%
575 4500
1.2%
570 4000
1.0%
565 4300
1.1%
560 3900
1.0%
555 4000
1.0%

Interactions

2024-01-12T13:37:46.203690image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:25.808730image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:29.926729image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:34.396760image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:38.607747image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:43.227144image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:47.273145image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:51.583152image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:55.592143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:00.225143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:04.343148image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:08.207174image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:12.607146image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:16.916147image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:21.451168image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:25.745143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:29.865144image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:33.840143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:37.812145image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:42.133909image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:46.387693image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:26.016729image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:30.176731image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:34.621732image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:38.830037image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:43.607147image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:47.485144image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:51.780143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:55.788143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:00.425147image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:04.535144image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:08.418144image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:12.814149image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:17.133174image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:21.638142image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:25.951144image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:30.113145image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:34.037143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:38.057142image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:42.342915image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:46.567691image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:26.194728image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:30.409732image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:34.813733image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:39.021141image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:43.766147image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:47.677143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:51.967146image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:55.964157image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:00.655148image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:04.716172image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:08.641142image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:13.029144image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:17.326143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:21.813173image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:26.181142image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:30.284186image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:34.205141image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:38.288148image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:42.559912image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:46.762689image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:26.390734image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:30.652737image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:35.021729image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:39.251148image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:43.942147image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:47.896145image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:52.185153image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:56.169174image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:00.879145image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:04.921147image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:08.826143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:13.261143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:17.507148image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:22.027143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:26.423145image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:30.479143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:34.381143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:38.503143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:42.768914image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:46.955695image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:26.590732image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:30.937735image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:35.214729image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:39.462146image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:44.151145image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:48.152174image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:52.399143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:56.354150image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:01.097147image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:05.118148image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:09.054145image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:13.567145image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:17.721144image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:22.216149image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:26.671146image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:30.722146image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:34.557147image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:38.716143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:42.992914image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:47.154695image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:26.762762image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:31.179734image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:35.386734image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:39.708144image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:44.376146image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:48.339144image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:52.571180image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:56.538143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:01.292149image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:05.280143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:09.252147image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:13.792144image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:17.961145image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:22.390145image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:26.868144image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:30.936144image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:34.724143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:38.911922image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:43.168906image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:47.339689image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:26.946729image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:31.411730image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:35.589734image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:39.963147image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:44.574144image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:48.528151image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:52.798146image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:57.006143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:01.518144image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:05.470173image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:09.434142image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:14.044144image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:18.217143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:22.578148image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:27.107144image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:31.192143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:34.895149image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:39.132913image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:43.372914image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:47.517721image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:27.157731image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:31.618729image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:35.776731image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:40.210153image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:44.766154image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:48.761143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:52.982141image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:57.195143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:01.707168image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:05.680147image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:09.637149image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:14.301143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:18.463146image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:22.761143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:27.313148image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:31.387143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:35.084146image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:39.344912image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:43.559910image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:47.696690image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:27.367748image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:31.806728image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:35.988739image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:40.501153image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:44.939146image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:48.959142image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:53.240147image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:57.378149image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:01.923147image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:05.867143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:09.832147image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:14.535144image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:18.708150image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:22.999146image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:27.524148image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:31.586144image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:35.267177image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:39.552909image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:43.745913image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:47.892705image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:27.557731image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:32.003736image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:36.277731image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:40.771147image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:45.124173image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:49.165145image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:53.412146image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:57.589147image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:02.150142image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:06.057148image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:10.027147image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:14.749144image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:18.906143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:23.207147image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:27.724141image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:31.765173image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:35.433143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:39.790909image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:43.935912image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:48.095694image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:27.749729image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:32.198730image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:36.465731image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:41.105155image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:45.296156image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:49.384150image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:53.610143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:57.776145image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:02.339166image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:06.254147image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:10.473144image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:14.962148image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:19.118151image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:23.401144image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:27.916186image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:31.949148image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:35.600145image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:40.025927image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:44.138909image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:48.277696image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:27.965732image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:32.419730image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:36.658735image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:41.355143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:45.501143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:49.615143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:53.880141image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:57.992147image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:02.527142image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:06.446147image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:10.691144image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:15.156144image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:19.341143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:23.615173image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:28.125146image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:32.142146image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:35.770146image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:40.237927image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:44.339912image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:48.461730image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:28.174762image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:32.611733image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:36.842733image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:41.613142image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:45.678166image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:49.825141image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:54.107144image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:58.271140image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:02.714143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:06.622145image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:10.899143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:15.350147image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:19.550150image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:24.041148image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:28.324145image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:32.325143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:35.942147image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:40.451909image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:44.521909image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:48.672695image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:28.359734image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:32.836729image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:37.052729image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:41.821144image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:45.866143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:50.032144image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:54.307143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:58.548143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:02.906147image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:06.798142image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:11.138146image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:15.553151image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:19.769145image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:24.280141image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:28.525143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:32.528143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:36.137143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:40.657912image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:44.722940image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:48.869695image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:28.544733image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:33.043739image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:37.245734image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:42.014145image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:46.066144image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:50.247145image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:54.487148image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:58.830143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:03.099147image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:07.002144image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:11.347146image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:15.731146image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:20.071146image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:24.476173image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:28.721161image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:32.710142image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:36.316143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:40.870908image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:44.917939image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:49.068692image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:28.723763image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:33.250736image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:37.432733image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:42.188146image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:46.299148image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:50.442145image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:54.668141image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:59.081143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:03.299144image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:07.192173image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:11.527150image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:15.926147image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:20.347144image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:24.678147image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:28.932156image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:32.905143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:36.486141image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:41.089914image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:45.116907image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:49.303691image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:28.908729image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:33.480733image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:37.680729image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:42.384173image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:46.487151image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:50.651149image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:54.862146image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:59.355142image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:03.475150image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:07.382146image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:11.725144image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:16.121161image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:20.582144image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:24.896141image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:29.139148image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:33.111146image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:36.659143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:41.310911image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:45.303689image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:49.478695image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:29.109729image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:33.674730image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:37.970731image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:42.581151image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:46.705143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:50.889146image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:55.049144image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:59.601142image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:03.660147image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:07.567141image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:11.926145image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:16.298145image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:20.802174image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:25.091143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:29.311144image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:33.284142image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:37.109145image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:41.518909image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:45.508698image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:49.660691image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:29.301744image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:33.951734image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:38.178730image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:42.780151image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:46.897146image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:51.138143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:55.220144image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:59.801143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:03.883148image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:07.758144image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:12.142145image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:16.491151image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:21.039144image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:25.280174image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:29.483145image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:33.454141image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:37.302144image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:41.706909image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:45.743694image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:50.084692image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:29.681732image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:34.195730image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:38.372736image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:42.995148image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:47.102147image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:51.372143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:36:55.407141image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:00.024145image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:04.116143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:08.012148image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:12.368143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:16.721142image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:21.264144image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:25.494143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:29.676186image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:33.648142image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:37.555148image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:41.914942image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:37:46.008693image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Correlations

2024-01-12T13:37:59.882696image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
pmax[0]pmax[10]pmax[11]pmax[12]pmax[13]pmax[14]pmax[15]pmax[16]pmax[17]pmax[1]pmax[2]pmax[3]pmax[4]pmax[5]pmax[6]pmax[7]pmax[8]pmax[9]xy
pmax[0]1.0000.0040.0030.0210.0000.004-0.0010.014-0.0010.0250.0450.0140.0270.0090.0320.0660.0120.013-0.0050.001
pmax[10]0.0041.0000.4970.008-0.077-0.1380.017-0.0090.013-0.585-0.598-0.696-0.5040.004-0.0400.0050.5690.801-0.478-0.725
pmax[11]0.0030.4971.0000.0280.5630.6870.1510.0050.0230.098-0.334-0.478-0.775-0.589-0.6630.000-0.2890.1910.390-0.824
pmax[12]0.0210.0080.0281.0000.0070.0400.0090.0030.0080.0070.0120.0030.0070.0020.0080.0190.0310.0570.000-0.000
pmax[13]0.000-0.0770.5630.0071.0000.812-0.2730.0120.0260.7100.2660.332-0.266-0.277-0.549-0.003-0.644-0.3880.760-0.146
pmax[14]0.004-0.1380.6870.0400.8121.0000.0700.0130.0260.6460.1450.081-0.473-0.595-0.7080.000-0.728-0.3710.829-0.336
pmax[15]-0.0010.0170.1510.009-0.2730.0701.000-0.0010.030-0.117-0.157-0.370-0.290-0.442-0.175-0.0000.0250.162-0.019-0.299
pmax[16]0.014-0.0090.0050.0030.0120.013-0.0011.000-0.0480.0290.0230.0260.0140.0170.0070.015-0.015-0.0070.0150.002
pmax[17]-0.0010.0130.0230.0080.0260.0260.030-0.0481.0000.0120.0050.005-0.005-0.009-0.012-0.004-0.0010.0050.014-0.001
pmax[1]0.025-0.5850.0980.0070.7100.646-0.1170.0290.0121.0000.6480.6700.056-0.293-0.4500.023-0.798-0.6670.8640.291
pmax[2]0.045-0.598-0.3340.0120.2660.145-0.1570.0230.0050.6481.0000.7500.4150.047-0.0540.045-0.465-0.5210.4590.574
pmax[3]0.014-0.696-0.4780.0030.3320.081-0.3700.0260.0050.6700.7501.0000.6730.3490.1500.015-0.436-0.6520.4270.821
pmax[4]0.027-0.504-0.7750.007-0.266-0.473-0.2900.014-0.0050.0560.4150.6731.0000.7550.7060.0280.150-0.336-0.2260.886
pmax[5]0.0090.004-0.5890.002-0.277-0.595-0.4420.017-0.009-0.2930.0470.3490.7551.0000.8380.0100.5440.053-0.5520.590
pmax[6]0.032-0.040-0.6630.008-0.549-0.708-0.1750.007-0.012-0.450-0.0540.1500.7060.8381.0000.0330.6430.129-0.6910.536
pmax[7]0.0660.0050.0000.019-0.0030.000-0.0000.015-0.0040.0230.0450.0150.0280.0100.0331.0000.0120.014-0.0070.003
pmax[8]0.0120.569-0.2890.031-0.644-0.7280.025-0.015-0.001-0.798-0.465-0.4360.1500.5440.6430.0121.0000.713-0.928-0.075
pmax[9]0.0130.8010.1910.057-0.388-0.3710.162-0.0070.005-0.667-0.521-0.652-0.3360.0530.1290.0140.7131.000-0.639-0.528
x-0.005-0.4780.3900.0000.7600.829-0.0190.0150.0140.8640.4590.427-0.226-0.552-0.691-0.007-0.928-0.6391.0000.003
y0.001-0.725-0.824-0.000-0.146-0.336-0.2990.002-0.0010.2910.5740.8210.8860.5900.5360.003-0.075-0.5280.0031.000

Missing values

2024-01-12T13:37:50.340693image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-12T13:37:51.093692image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

pmax[0]pmax[1]pmax[2]pmax[3]pmax[4]pmax[5]pmax[6]pmax[7]pmax[8]pmax[9]pmax[10]pmax[11]pmax[12]pmax[13]pmax[14]pmax[15]pmax[16]pmax[17]xy
04.0669075.4091616.0845063.8113284.8930279.3223053.0773383.63385626.58125399.36126442.06839312.4384584.5598027.4548776.611877149.648736607.109118614.916861200.0200.0
15.9168014.4142894.5072573.9403695.5493799.3739145.4243565.12688327.79701596.06256138.69021012.32621215.49843118.47251413.802252148.942977630.348007624.950701200.0200.0
24.2866524.5671915.3841554.9034123.7954077.4998965.8462334.28434123.16365193.76739840.3370679.2532504.1686927.3366685.940039153.494632613.880342596.437125200.0200.0
34.0036355.0190584.1655983.7916724.84871910.4222605.1579272.99982926.59289989.62043837.79677410.9008763.5213138.4506716.434910151.859889600.714957591.763739200.0200.0
44.4481463.2502624.7360235.1230483.02670912.5578066.1150464.45695525.261710106.10943042.20202313.9566593.9919078.7219524.483080137.139115609.723785606.917023200.0200.0
55.0515683.7247284.1225105.6955713.8623298.9698645.7160744.73770423.366986101.39801643.2438459.5165685.9879037.6394233.760919141.864945591.832359609.812593200.0200.0
65.0871494.5160065.4449624.4693764.22777712.3891806.6256683.30051928.292355102.60884741.71147210.5032933.2583837.8222964.451303159.841286603.200265588.533681200.0200.0
73.6734043.4985824.7866005.1093993.72723710.1702125.8957984.70805228.54422399.80205440.9010839.4345435.1281139.3865755.312753131.686756637.746386587.907303200.0200.0
85.7737065.1213124.6242894.4169563.8778356.9976843.7846374.41525924.306458103.03100042.6264507.1108525.63029510.7368595.130885133.705939639.774809598.504223200.0200.0
94.3305122.7415624.2082524.3696225.72197510.0140445.4429265.46123426.13497693.71183538.7039228.8980105.4924296.9435463.861499141.831886605.809698606.151950200.0200.0
pmax[0]pmax[1]pmax[2]pmax[3]pmax[4]pmax[5]pmax[6]pmax[7]pmax[8]pmax[9]pmax[10]pmax[11]pmax[12]pmax[13]pmax[14]pmax[15]pmax[16]pmax[17]xy
3854903.55653346.42244956.95497466.80701010.7075879.3420757.5401155.6545373.6452734.9736974.5246863.8281133.77007118.7046399.882791130.021082600.396951628.847734600.0595.0
3854914.82085347.05253360.85090072.58257114.16775513.1082675.1339542.7388525.4829935.0530859.4999973.1327185.05783719.13996910.375104124.032847617.308276606.140048600.0595.0
3854924.72678255.24888368.09422372.94487014.58700315.3783437.5817113.3163515.5463444.4277105.4638065.0232483.75020418.91030610.458133134.857750619.968480611.092492600.0595.0
3854935.15983958.31801568.42910867.38964213.27374312.8792605.3931585.9297483.9867194.2258612.9976443.8681644.68083820.2072398.793121137.355096613.395783616.874528600.0595.0
3854944.33231855.44437668.67091770.38541912.4182109.4279084.2791505.5494485.4754066.1821594.5059697.7401493.33778419.61781910.386407126.831869616.129889604.793743600.0595.0
3854955.05142249.81937655.65144063.11960411.94299912.8781284.6043675.0524384.6688423.3245825.0186005.5267943.57797919.4540655.842563131.786591581.954264614.629732600.0595.0
3854964.06766451.01649558.08402459.97115811.5552559.7294864.0755744.84558114.10181012.81998912.10040315.20856315.73766817.60463611.819031122.000994591.334030589.602095600.0595.0
3854974.24355546.66168261.84010373.85008916.88489713.1040626.3817785.2190557.1606723.8599826.5873855.3432995.38504920.78352410.120659131.856155619.698505610.999390600.0595.0
38549814.55244446.51576549.77207059.27792712.19166011.13901514.60687015.29611816.47770711.38517813.21490513.60505715.32677014.04826710.754880122.657732597.935632611.263138600.0595.0
3854994.20332353.98814759.77421964.35132414.52969113.7158334.3482734.7943304.4020233.8482424.9596476.9343415.62406021.2565036.895911119.050219605.837434581.580222600.0595.0